136 power-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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(required) and/or Python (desirable) Familiarity with GitHub and collaborative work on GitHub Experience with Docker, SQL, and automated data pipelines desirable Ability to collaborate effectively with
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, or entrepreneurship. Your exceptional ability to simplify complex concepts, follow through, and get things done will be essential to driving projects and initiatives forward to hit their goals. In line with our values
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Reduction for Households , or Hydrogen-powered shipping Work independently on assigned tasks in close collaboration with the project team Dive into new technologies and handle analytical, organizational, and
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avatar platforms, including Digital Einstein. Our work focuses on lifelike digital humans powered by large language models, affective computing, and real-time rendering — deployed at high-profile
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; display assays (phage, yeast, or ribosome); ELISA and BLI; flow cytometry, cell sorting, fluorescence microscopy; mammalian cell culture. Creativity and "out-of-the-box" thinking; ability to operate under
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and able to develop model-based methods for experimental design and analysis. You are highly motivated to learn and apply modern experimental and simulation techniques The ability to work independently
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simulation and optimization techniques and work in a dynamic environment with other doctoral students and postdocs The ability to work independently and excellent communication skills in English (both written
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methods to predict thermophysical properties and/or conceptual process design The ability to work independently and excellent communication and writing skills in English complete your profile Workplace
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Ability to contribute to multiple projects/demands simultaneously and enjoy student supervision Applicants should be well versed in English. Additional beneficial experience: Deep knowledge of low-level
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equilibrium. In situ TEM and Dynamic TEM (DTEM) are powerful techniques that can be used to reveal microstructure–property relationships in materials under operational conditions, which remains largely